Fraud Detection Specialist

4 days ago

Melbourne, Victoria, Australia beBeeFraud Full time $120,000 - $180,000
Machine Learning Engineer

This role focuses on building and deploying fraud detection models to prevent revenue leakage across various monetization channels. As a machine learning engineer, you will collaborate with backend engineers, data scientists, and product managers to develop and iterate on fraud prevention strategies.

">Key Responsibilities
  • Developing and deploying fraud detection models
  • Collaborating with cross-functional teams to build and iterate on fraud prevention strategies
  • Shaping the fraud ML strategy using a strong product mindset
  • Architecting, building, and maintaining ML systems for fraud detection and response
  • Mentoring and upskilling engineers and data scientists in the team

Required Skills and Qualifications

  • Built and deployed machine learning models in production environments
  • Comfortable working across the ML lifecycle – from data wrangling to evaluation and model iteration
  • Strong product sense and empathy for both internal and external users
  • Effective communication skills to align cross-functional teams
  • Hands-on experience building complex internal tools and user-facing flows at scale

Benefits

  • Equity packages
  • Inclusive parental leave policy
  • Annual Vibe & Thrive allowance
  • Flexible leave options

What’s In It For You?

Achieving our goals motivates us to work hard – and we do – but you’ll experience lots of moments of magic, connectivity, and fun woven throughout life at Canva. We also offer a range of benefits to set you up for every success in and outside of work.

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